History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"skeletal"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 398 | 2025-12-30 11:36:51 | skeletal | 1 | 82945 | 1 | 1.313 | 63172.1 |
| 397 | 2025-12-22 09:47:05 | skeletal | 1 | 82945 | 1 | 1.436 | 57761.1 |
| 396 | 2025-12-22 06:29:21 | skeletal | 1 | 82945 | 1 | 1.470 | 56425.2 |
| 395 | 2025-12-21 21:08:45 | skeletal | 1 | 82945 | 1 | 1.470 | 56425.2 |
| 394 | 2025-12-19 08:09:13 | skeletal | 1 | 82945 | 1 | 1.373 | 60411.5 |
| 393 | 2025-12-18 16:01:29 | skeletal | 4 | 161609 | 362 | 13.126 | 12312.1 |
| 392 | 2025-12-17 21:09:00 | skeletal | 1 | 82945 | 1 | 5.186 | 15994.0 |
| 391 | 2025-12-16 17:26:21 | skeletal | 1 | 82945 | 1 | 1.313 | 63172.1 |
| 390 | 2025-12-14 02:46:30 | skeletal | 4 | 161609 | 362 | 43.253 | 3736.4 |
| 389 | 2025-12-14 02:46:19 | skeletal | 4 | 161609 | 362 | 46.486 | 3476.5 |
| 388 | 2025-12-13 08:37:08 | skeletal | 1 | 82945 | 1 | 2.173 | 38170.7 |
| 387 | 2025-12-12 14:22:30 | skeletal | 4 | 161609 | 362 | 58.566 | 2759.4 |
| 386 | 2025-12-07 01:33:24 | skeletal | 1 | 82945 | 1 | 1.720 | 48223.8 |
| 385 | 2025-11-30 17:25:25 | skeletal | 4 | 161609 | 362 | 12.143 | 13308.8 |
| 384 | 2025-11-28 09:00:25 | skeletal | 4 | 161609 | 362 | 11.016 | 14670.4 |
| 383 | 2025-11-23 06:26:59 | skeletal | 1 | 82945 | 1 | 1.483 | 55930.5 |
| 382 | 2025-11-22 09:30:10 | skeletal | 1 | 82945 | 1 | 1.343 | 61761.0 |
| 381 | 2025-11-17 00:34:49 | skeletal | 1 | 82945 | 1 | 1.406 | 58993.6 |
| 380 | 2025-11-05 00:19:56 | skeletal | 1 | 82945 | 1 | 1.453 | 57085.3 |
| 379 | 2025-11-02 08:52:08 | skeletal | 2 | 121059 | 4 | 3.623 | 33414.0 |
| 378 | 2025-10-29 03:41:51 | skeletal | 3 | 146162 | 26 | 7.436 | 19656.0 |
| 377 | 2025-10-28 22:37:22 | skeletal | 3 | 146162 | 26 | 7.420 | 19698.4 |
| 376 | 2025-10-28 16:59:06 | skeletal | 2 | 121059 | 4 | 7.126 | 16988.4 |
| 375 | 2025-10-10 08:29:21 | skeletal | 2 | 121059 | 4 | 3.890 | 31120.6 |
| 374 | 2025-10-05 22:20:58 | skeletal | 1 | 82945 | 1 | 1.923 | 43133.1 |
| 373 | 2025-10-03 21:06:37 | skeletal | 3 | 146162 | 26 | 12.376 | 11810.1 |
| 372 | 2025-09-09 17:35:21 | skeletal | 1 | 82945 | 1 | 1.500 | 55296.7 |
| 371 | 2025-09-06 03:31:45 | skeletal | 4 | 161609 | 362 | 12.313 | 13125.1 |
| 370 | 2025-08-09 06:20:05 | skeletal | 1 | 82945 | 1 | 6.906 | 12010.6 |
| 369 | 2025-08-09 00:53:26 | skeletal | 1 | 82945 | 1 | 6.673 | 12429.9 |
| 368 | 2025-07-27 01:47:50 | skeletal | 1 | 82945 | 1 | 6.423 | 12913.7 |
| 367 | 2025-07-24 19:29:03 | skeletal | 1 | 82945 | 1 | 3.516 | 23590.7 |
| 366 | 2025-07-23 05:03:31 | skeletal | 1 | 82945 | 1 | 7.063 | 11743.6 |
| 365 | 2025-07-16 14:04:53 | skeletal | 1 | 82945 | 1 | 1.423 | 58288.8 |
| 364 | 2025-07-08 19:41:46 | skeletal | 1 | 82945 | 1 | 1.376 | 60279.8 |
| 363 | 2025-07-07 09:03:18 | skeletal | 1 | 82945 | 1 | 7.000 | 11849.3 |
| 362 | 2025-06-26 21:38:00 | skeletal | 1 | 82945 | 1 | 1.440 | 57600.7 |
| 361 | 2025-06-26 04:51:15 | skeletal | 1 | 82945 | 1 | 5.720 | 14500.9 |
| 360 | 2025-06-20 17:59:51 | skeletal | 1 | 82945 | 1 | 6.440 | 12879.7 |
| 359 | 2025-06-13 22:40:55 | skeletal | 1 | 82945 | 1 | 4.126 | 20103.0 |
| 358 | 2025-05-22 06:23:56 | skeletal | 1 | 82945 | 1 | 10.610 | 7817.6 |
| 357 | 2025-05-19 06:41:00 | skeletal | 2 | 121059 | 4 | 10.186 | 11884.8 |
| 356 | 2025-05-16 21:20:50 | skeletal | 1 | 82945 | 1 | 1.516 | 54713.1 |
| 355 | 2025-05-01 08:13:07 | skeletal | 1 | 82945 | 1 | 1.686 | 49196.3 |
| 354 | 2025-04-20 21:46:24 | skeletal | 2 | 121059 | 4 | 9.513 | 12725.6 |
| 353 | 2025-04-20 08:44:33 | skeletal | 1 | 82945 | 1 | 6.936 | 11958.6 |
| 352 | 2025-04-10 16:40:16 | skeletal | 2 | 121059 | 4 | 3.313 | 36540.6 |
| 351 | 2025-04-02 19:06:11 | skeletal | 1 | 82945 | 1 | 7.250 | 11440.7 |
| 350 | 2025-03-30 23:53:43 | skeletal | 1 | 82945 | 1 | 7.050 | 11765.2 |
| 349 | 2025-03-24 16:15:41 | skeletal | 3 | 146162 | 26 | 10.326 | 14154.8 |
| 348 | 2025-03-23 14:11:35 | skeletal | 1 | 82945 | 1 | 6.623 | 12523.8 |
| 347 | 2025-03-18 03:19:27 | skeletal | 1 | 82945 | 1 | 10.000 | 8294.5 |
| 346 | 2025-03-16 02:10:49 | skeletal | 1 | 82945 | 1 | 4.453 | 18626.8 |
| 345 | 2025-03-05 13:17:31 | skeletal | 3 | 146162 | 26 | 37.640 | 3883.2 |
| 344 | 2025-02-23 03:33:03 | skeletal | 3 | 146162 | 26 | 50.690 | 2883.4 |
| 343 | 2025-02-16 19:59:17 | skeletal | 3 | 146162 | 26 | 34.456 | 4242.0 |
| 342 | 2025-02-15 19:13:00 | skeletal | 1 | 82945 | 1 | 7.360 | 11269.7 |
| 341 | 2025-02-14 11:06:24 | skeletal | 3 | 146162 | 26 | 50.830 | 2875.5 |
| 340 | 2025-02-13 11:58:48 | skeletal | 3 | 146162 | 26 | 37.160 | 3933.3 |
| 339 | 2025-02-07 23:11:46 | skeletal | 4 | 161609 | 362 | 34.330 | 4707.5 |
| 338 | 2025-02-07 10:43:53 | skeletal | 1 | 82945 | 1 | 3.140 | 26415.6 |
| 337 | 2025-02-07 10:43:31 | skeletal | 2 | 121059 | 4 | 11.766 | 10288.9 |
| 336 | 2025-01-27 13:51:29 | skeletal | 2 | 121059 | 4 | 17.563 | 6892.8 |
| 335 | 2025-01-27 12:45:01 | skeletal | 3 | 146162 | 26 | 9.580 | 15257.0 |
| 334 | 2025-01-27 12:45:08 | skeletal | 1 | 82945 | 1 | 1.483 | 55930.5 |
| 333 | 2025-01-26 22:45:58 | skeletal | 3 | 146162 | 26 | 36.113 | 4047.4 |
| 332 | 2025-01-20 19:20:35 | skeletal | 4 | 161609 | 362 | 67.466 | 2395.4 |
| 331 | 2025-01-15 10:38:51 | skeletal | 4 | 161609 | 362 | 71.676 | 2254.7 |
| 330 | 2025-01-15 05:37:29 | skeletal | 4 | 161609 | 362 | 76.786 | 2104.7 |
| 329 | 2025-01-15 03:28:46 | skeletal | 2 | 121059 | 4 | 12.906 | 9380.1 |
| 328 | 2025-01-15 03:00:26 | skeletal | 4 | 161609 | 362 | 10.800 | 14963.8 |
| 327 | 2025-01-15 02:59:55 | skeletal | 3 | 146162 | 26 | 7.093 | 20606.5 |
| 326 | 2025-01-12 14:50:41 | skeletal | 2 | 121059 | 4 | 18.346 | 6598.7 |
| 325 | 2025-01-09 15:32:48 | skeletal | 3 | 146162 | 26 | 31.846 | 4589.7 |
| 324 | 2025-01-03 20:00:35 | skeletal | 1 | 82945 | 1 | 6.670 | 12435.5 |
| 323 | 2025-01-01 04:00:18 | skeletal | 1 | 82945 | 1 | 4.283 | 19366.1 |
| 322 | 2024-12-25 22:59:51 | skeletal | 3 | 146162 | 26 | 46.676 | 3131.4 |
| 321 | 2024-12-25 22:59:51 | skeletal | 2 | 121059 | 4 | 12.546 | 9649.2 |
| 320 | 2024-12-25 22:58:34 | skeletal | 1 | 82945 | 1 | 8.360 | 9921.7 |
| 319 | 2024-12-25 05:47:30 | skeletal | 3 | 146162 | 26 | 30.703 | 4760.5 |
| 318 | 2024-12-16 02:53:41 | skeletal | 3 | 146162 | 26 | 35.016 | 4174.1 |
| 317 | 2024-12-11 11:10:54 | skeletal | 3 | 146162 | 26 | 45.770 | 3193.4 |
| 316 | 2024-12-07 13:03:18 | skeletal | 3 | 146162 | 26 | 9.563 | 15284.1 |
| 315 | 2024-12-07 13:03:18 | skeletal | 2 | 121059 | 4 | 4.423 | 27370.3 |
| 314 | 2024-12-07 13:03:15 | skeletal | 1 | 82945 | 1 | 2.890 | 28700.7 |
| 313 | 2024-12-04 09:05:08 | skeletal | 2 | 121059 | 4 | 18.563 | 6521.5 |
| 312 | 2024-11-25 10:57:03 | skeletal | 1 | 82945 | 1 | 5.986 | 13856.5 |
| 311 | 2024-11-25 04:05:11 | skeletal | 3 | 146162 | 26 | 34.580 | 4226.8 |
| 310 | 2024-11-24 00:00:03 | skeletal | 3 | 146162 | 26 | 33.486 | 4364.9 |
| 309 | 2024-11-23 08:04:24 | skeletal | 3 | 146162 | 26 | 27.546 | 5306.1 |
| 308 | 2024-11-12 23:31:29 | skeletal | 3 | 146162 | 26 | 36.453 | 4009.6 |
| 307 | 2024-11-12 23:30:46 | skeletal | 2 | 121059 | 4 | 18.236 | 6638.5 |
| 306 | 2024-11-12 23:30:25 | skeletal | 1 | 82945 | 1 | 5.250 | 15799.0 |
| 305 | 2024-10-25 10:47:30 | skeletal | 3 | 146162 | 26 | 36.110 | 4047.7 |
| 304 | 2024-10-24 08:57:20 | skeletal | 3 | 146162 | 26 | 35.533 | 4113.4 |
| 303 | 2024-10-20 08:41:07 | skeletal | 1 | 82945 | 1 | 6.170 | 13443.3 |
| 302 | 2024-10-17 18:34:53 | skeletal | 3 | 146162 | 26 | 40.550 | 3604.5 |
| 301 | 2024-09-24 10:38:12 | skeletal | 1 | 82945 | 1 | 5.393 | 15380.1 |
| 300 | 2024-09-17 01:53:27 | skeletal | 2 | 121059 | 4 | 23.690 | 5110.1 |
| 299 | 2024-09-17 01:53:11 | skeletal | 1 | 82945 | 1 | 6.076 | 13651.3 |